Dual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters

Dual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters

Dr. Onyeka

Contact

A.C.

Contact

α Federal University of Technology Owerri

Dual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters

Article Fingerprint

ReserarchID

49P0Q

Dual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

This paper extends the work carried out by Onyeka (2012), by proposing a class of dual to ratio combined estimators of the population mean in post-stratified sampling when using known value of some population parameters. The proposed estimators, under certain conditions, are shown to be more efficient than some existing estimators, including the usual poststratified estimator and the estimators proposed by Onyeka (2012). Properties of the proposed class of estimators, including conditions for optimal efficiency, are obtained up to first order approximation. The results are illustrated using empirical data.

References

15 Cites in Article

Reference Format

Nursel Koyuncu,Cem Kadilar (2009). Ratio and product estimators in stratified random sampling.
A Onyeka (2012). Estimation of population mean in poststratified sampling using known value of some population parameter(s).
B Pandy,Dubey,Vyas (1988). Modified product estimator using coefficient of variation of auxiliary variate.
D Searls (1964). The utilization of known coefficient of variation in the estimation procedure.
B Sharma,R Tailor (2010). A New Ratio-Cum-Dual to Ratio Estimator of Finite Population Mean in Simple Random Sampling.
G Singh (2003). On the improvement of product method of estimation in sample surveys.
H Singh,M Kakran (1993). A Modified Ratio Estimator Using Known Coefficients of Kurtosis of an Auxiliary Character.
H Singh,R Tailor (2003). Use of known correlation coefficient in estimating the finite population mean.
H Singh,R Tailor (2005). Estimation of finite population mean using known correlation coefficient between auxiliary characters.
J Singh,B Pandey,K Hirano (1973). On the utilization of a known coefficient of kurtosis in the estimation procedure of variance.
B Sisodia,V Dwivedi (1981). A Modified Ratio Estimator Using Coefficient of Variation of Auxiliary Variable.
T Srivenkataramana (1980). A dual of ratio estimator in sample surveys.
T Srivenkataramana,K Srinath (1976). Ratio and Product methods of estimation in sample surveys when the two variables are moderately correlated.
Rajesh Tailor,Balkishan Sharma (2009). A MODIFIED RATIO-CUM-PRODUCT ESTIMATOR OF FINITE POPULATION MEAN USING KNOWN COEFFICIENT OF VARIATION AND COEFFICIENT OF KURTOSIS.
Lakshmi Upadhyaya,Housila Singh (1999). Use of Transformed Auxiliary Variable in Estimating the Finite Population Mean.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Onyeka. 2013. \u201cDual to Ratio Estimators of Population Mean in Post-Stratified Sampling using Known Value of Some Population Parameters\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 13 (GJSFR Volume 13 Issue F2): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJSFR Volume 13 Issue F2
Pg. 13- 23

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

Auxiliary information general family of estimators mean squared errors post-stratified sampling

Submission ReceivedJanuary 22, 2013
Peer Review Double Blind
Handling Editor
Accepted February 12, 2013
Published February 24, 2013

Version of record

v1.2

Issue date

April 10, 2013

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 107

Country: Nigeria

Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision

Authors: Dr. Onyeka, A.C. (PhD/Dr. count: 1)

View Count (all-time): 153

Total Views (Real + Logic): 4904

Total Downloads (simulated): 2490

Publish Date: 2013 04, Wed

Monthly Totals (Real + Logic):

Month 1: 32 views
Month 2: 29 views
Month 3: 35 views
Month 4: 48 views
Month 5: 49 views
Month 6: 30 views
Month 7: 40 views
Month 8: 51 views
Month 9: 41 views
Month 10: 53 views
Month 11: 33 views
Month 12: 31 views
Month 13: 38 views
Month 14: 46 views
Month 15: 39 views
Month 16: 38 views
Month 17: 19 views
Month 18: 14 views
Month 19: 35 views
Month 20: 27 views
Month 21: 38 views
Month 22: 37 views
Month 23: 24 views
Month 24: 23 views
Month 25: 20 views
Month 26: 34 views
Month 27: 28 views
Month 28: 26 views
Month 29: 18 views
Month 30: 25 views
Month 31: 19 views
Month 32: 21 views
Month 33: 19 views
Month 34: 40 views
Month 35: 45 views
Month 36: 27 views
Month 37: 34 views
Month 38: 21 views
Month 39: 41 views
Month 40: 34 views
Month 41: 34 views
Month 42: 25 views
Month 43: 31 views
Month 44: 27 views
Month 45: 34 views
Month 46: 47 views
Month 47: 18 views
Month 48: 30 views
Month 49: 25 views
Month 50: 29 views
Month 51: 39 views
Month 52: 29 views
Month 53: 35 views
Month 54: 19 views
Month 55: 40 views
Month 56: 41 views
Month 57: 29 views
Month 58: 28 views
Month 59: 35 views
Month 60: 36 views
Month 61: 20 views
Month 62: 32 views
Month 63: 21 views
Month 64: 42 views
Month 65: 27 views
Month 66: 47 views
Month 67: 33 views
Month 68: 31 views
Month 69: 45 views
Month 70: 48 views
Month 71: 45 views
Month 72: 40 views
Month 73: 33 views
Month 74: 29 views
Month 75: 27 views
Month 76: 27 views
Month 77: 21 views
Month 78: 25 views
Month 79: 37 views
Month 80: 37 views
Month 81: 20 views
Month 82: 15 views
Month 83: 15 views
Month 84: 33 views
Month 85: 13 views
Month 86: 22 views
Month 87: 39 views
Month 88: 27 views
Month 89: 35 views
Month 90: 31 views
Month 91: 13 views
Month 92: 33 views
Month 93: 34 views
Month 94: 26 views
Month 95: 30 views
Month 96: 28 views
Month 97: 22 views
Month 98: 32 views
Month 99: 31 views
Month 100: 31 views
Month 101: 24 views
Month 102: 25 views
Month 103: 23 views
Month 104: 32 views
Month 105: 18 views
Month 106: 47 views
Month 107: 20 views
Month 108: 42 views
Month 109: 30 views
Month 110: 29 views
Month 111: 32 views
Month 112: 28 views
Month 113: 35 views
Month 114: 14 views
Month 115: 25 views
Month 116: 35 views
Month 117: 40 views
Month 118: 37 views
Month 119: 13 views
Month 120: 29 views
Month 121: 20 views
Month 122: 42 views
Month 123: 22 views
Month 124: 39 views
Month 125: 36 views
Month 126: 22 views
Month 127: 21 views
Month 128: 29 views
Month 129: 42 views
Month 130: 27 views
Month 131: 33 views
Month 132: 38 views
Month 133: 20 views
Month 134: 31 views
Month 135: 23 views
Month 136: 27 views
Month 137: 23 views
Month 138: 13 views
Month 139: 30 views
Month 140: 34 views
Month 141: 34 views
Month 142: 28 views
Month 143: 40 views
Month 144: 21 views
Month 145: 24 views
Month 146: 24 views
Month 147: 29 views
Month 148: 25 views
Month 149: 19 views
Month 150: 33 views
Month 151: 38 views
Month 152: 52 views
Month 153: 38 views
Month 154: 17 views
Month 155: 30 views
Month 156: 37 views
Month 157: 31 views

Total Views: 4904

Total Downloads: 2490

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]